1 code implementation • 24th Computer Vision Winter Workshop 2019 • Viktor Kocur
Detection and tracking of vehicles captured by traffic surveillance cameras is a key component of intelligent traffic systems.
Ranked #2 on Vehicle Speed Estimation on BrnoCompSpeed
2 code implementations • 29 Mar 2020 • Viktor Kocur, Milan Ftáčnik
We present an improved version of our algorithm for detection of 3D bounding boxes of vehicles, their tracking and subsequent speed estimation.
Ranked #1 on Vehicle Speed Estimation on BrnoCompSpeed
2 code implementations • 21 Mar 2021 • Viktor Kocur, Milan Ftáčnik
From the detected pairs of vanishing points for multiple vehicles in a scene we establish the scene geometry by estimating the focal length of the camera and the orientation of the road plane.
1 code implementation • 17 Dec 2021 • Lukáš Gajdošech, Viktor Kocur, Martin Stuchlík, Lukáš Hudec, Martin Madaras
This paper focuses on a specific task of 6D pose estimation of a bin in 3D scans.
Ranked #1 on 6D Pose Estimation on 3D-BSLS-6D
1 code implementation • 13 Nov 2023 • Martin Melicherčík, Lukáš Gajdošech, Viktor Kocur, Martin Madaras
This paper focuses on increasing the resolution of depth maps obtained from 3D cameras using structured light technology.
no code implementations • 13 Nov 2023 • Tomáš Kunzo, Viktor Kocur, Lukáš Gajdošech, Martin Madaras
We introduce the TriDental dataset, consisting of 3000 oral cavity images annotated with teeth keypoints, to train a teeth keypoint detection network.
1 code implementation • 13 Nov 2023 • Zuzana Černeková, Zuzana Berger Haladová, Ján Špirka, Viktor Kocur
Outdoor advertising, such as roadside billboards, plays a significant role in marketing campaigns but can also be a distraction for drivers, potentially leading to accidents.
3 code implementations • 27 Nov 2023 • Viktor Kocur, Daniel Kyselica, Zuzana Kúkelová
In this paper, we therefore propose an efficient and robust iterative method to estimate the focal lengths along with the principal points of the cameras given a fundamental matrix and priors for the estimated camera parameters.
no code implementations • 26 Feb 2024 • Katarína Osvaldová, Lukáš Gajdošech, Viktor Kocur, Martin Madaras
The goal of this paper is to assess the impact of noise in 3D camera-captured data by modeling the noise of the imaging process and applying it on synthetic training data.